[203] | 1 | from asap.asaplot import ASAPlot
|
---|
[226] | 2 | from asap import rcParams
|
---|
[203] | 3 |
|
---|
| 4 | class asapplotter:
|
---|
[226] | 5 | """
|
---|
| 6 | The ASAP plotter.
|
---|
| 7 | By default the plotter is set up to plot polarisations
|
---|
| 8 | 'colour stacked' and scantables across panels.
|
---|
| 9 | Note:
|
---|
| 10 | Currenly it only plots 'spectra' not Tsys or
|
---|
| 11 | other variables.
|
---|
| 12 | """
|
---|
[203] | 13 | def __init__(self):
|
---|
| 14 | self._plotter = ASAPlot()
|
---|
| 15 |
|
---|
| 16 | self._tdict = {'Time':'t','time':'t','t':'t','T':'t'}
|
---|
| 17 | self._bdict = {'Beam':'b','beam':'b','b':'b','B':'b'}
|
---|
| 18 | self._idict = {'IF':'i','if':'i','i':'i','I':'i'}
|
---|
| 19 | self._pdict = {'Pol':'p','pol':'p','p':'p'}
|
---|
| 20 | self._sdict = {'scan':'s','Scan':'s','s':'s','S':'s'}
|
---|
[525] | 21 | self._cdict = {'t':'len(self._cursor["t"])',
|
---|
| 22 | 'b':'len(self._cursor["b"])',
|
---|
| 23 | 'i':'len(self._cursor["i"])',
|
---|
| 24 | 'p':'len(self._cursor["p"])',
|
---|
[203] | 25 | 's':'len(scans)'}
|
---|
| 26 | self._ldict = {'b':'Beam',
|
---|
| 27 | 'i':'IF',
|
---|
| 28 | 'p':'Pol',
|
---|
| 29 | 's':'Scan'}
|
---|
| 30 | self._dicts = [self._tdict,self._bdict,
|
---|
| 31 | self._idict,self._pdict,
|
---|
| 32 | self._sdict]
|
---|
[554] | 33 | self._panelling = None
|
---|
| 34 | self._stacking = None
|
---|
| 35 | self.set_panelling()
|
---|
| 36 | self.set_stacking()
|
---|
[377] | 37 | self._rows = None
|
---|
| 38 | self._cols = None
|
---|
[203] | 39 | self._autoplot = False
|
---|
[525] | 40 | self._minmaxx = None
|
---|
| 41 | self._minmaxy = None
|
---|
[203] | 42 | self._data = None
|
---|
| 43 | self._lmap = []
|
---|
[226] | 44 | self._title = None
|
---|
[257] | 45 | self._ordinate = None
|
---|
| 46 | self._abcissa = None
|
---|
[525] | 47 | self._cursor = {'t':None, 'b':None,
|
---|
| 48 | 'i':None, 'p':None
|
---|
| 49 | }
|
---|
[203] | 50 |
|
---|
| 51 | def _translate(self, name):
|
---|
| 52 | for d in self._dicts:
|
---|
| 53 | if d.has_key(name):
|
---|
| 54 | return d[name]
|
---|
| 55 | return None
|
---|
| 56 |
|
---|
[525] | 57 | def plot(self, *args):
|
---|
[203] | 58 | """
|
---|
| 59 | Plot a (list of) scantables.
|
---|
| 60 | Parameters:
|
---|
| 61 | one or more comma separated scantables
|
---|
| 62 | Note:
|
---|
| 63 | If a (list) of scantables was specified in a previous call
|
---|
| 64 | to plot, no argument has to be given to 'replot'
|
---|
[525] | 65 | NO checking is done that the abcissas of the scantables
|
---|
[203] | 66 | are consistent e.g. all 'channel' or all 'velocity' etc.
|
---|
| 67 | """
|
---|
| 68 | if self._plotter.is_dead:
|
---|
| 69 | self._plotter = ASAPlot()
|
---|
[600] | 70 | self._plotter.hold()
|
---|
[203] | 71 | self._plotter.clear()
|
---|
| 72 | if len(args) > 0:
|
---|
[525] | 73 | if self._data is not None:
|
---|
| 74 | if list(args) != self._data:
|
---|
| 75 | self._data = list(args)
|
---|
| 76 | # reset cursor
|
---|
[541] | 77 | self.set_cursor(refresh=False)
|
---|
[525] | 78 | else:
|
---|
| 79 | self._data = list(args)
|
---|
[541] | 80 | self.set_cursor(refresh=False)
|
---|
[554] | 81 | if self._panelling == 't':
|
---|
[541] | 82 | maxrows = 9
|
---|
| 83 | if self._data[0].nrow() > maxrows:
|
---|
| 84 | print "Scan to be plotted contains more than %d rows.\n" \
|
---|
| 85 | "Selecting first %d rows..." % (maxrows,maxrows)
|
---|
| 86 | self._cursor["t"] = range(maxrows)
|
---|
[203] | 87 | self._plot_time(self._data[0], self._stacking)
|
---|
[554] | 88 | elif self._panelling == 's':
|
---|
[203] | 89 | self._plot_scans(self._data, self._stacking)
|
---|
| 90 | else:
|
---|
| 91 | self._plot_other(self._data, self._stacking)
|
---|
[525] | 92 | if self._minmaxx is not None or self._minmaxy is not None:
|
---|
| 93 | self._plotter.set_limits(xlim=self._minmaxx,ylim=self._minmaxy)
|
---|
[203] | 94 | self._plotter.release()
|
---|
| 95 | return
|
---|
| 96 |
|
---|
| 97 | def _plot_time(self, scan, colmode):
|
---|
| 98 | if colmode == 't':
|
---|
| 99 | return
|
---|
[525] | 100 | n = len(self._cursor["t"])
|
---|
[203] | 101 | cdict = {'b':'scan.setbeam(j)',
|
---|
| 102 | 'i':'scan.setif(j)',
|
---|
| 103 | 'p':'scan.setpol(j)'}
|
---|
[525] | 104 | cdict2 = {'b':'self._cursor["b"]',
|
---|
| 105 | 'i':'self._cursor["i"]',
|
---|
| 106 | 'p':'self._cursor["p"]'}
|
---|
| 107 | ncol = 1
|
---|
[203] | 108 | if self._stacking is not None:
|
---|
| 109 | ncol = eval(self._cdict.get(colmode))
|
---|
| 110 | if n > 1:
|
---|
[377] | 111 | if self._rows and self._cols:
|
---|
| 112 | n = min(n,self._rows*self._cols)
|
---|
| 113 | self._plotter.set_panels(rows=self._rows,cols=self._cols,
|
---|
| 114 | nplots=n)
|
---|
| 115 | else:
|
---|
[485] | 116 | self._plotter.set_panels(rows=n,cols=0,nplots=n)
|
---|
[600] | 117 | else:
|
---|
| 118 | self._plotter.set_panels()
|
---|
[525] | 119 | rows = self._cursor["t"]
|
---|
| 120 | self._plotter.palette(1)
|
---|
| 121 | for rowsel in rows:
|
---|
| 122 | i = self._cursor["t"].index(rowsel)
|
---|
[203] | 123 | if n > 1:
|
---|
[377] | 124 | self._plotter.palette(1)
|
---|
[203] | 125 | self._plotter.subplot(i)
|
---|
[525] | 126 | colvals = eval(cdict2.get(colmode))
|
---|
| 127 | for j in colvals:
|
---|
| 128 | polmode = "raw"
|
---|
| 129 | jj = colvals.index(j)
|
---|
| 130 | savej = j
|
---|
| 131 | for k in cdict.keys():
|
---|
| 132 | sel = eval(cdict2.get(k))
|
---|
| 133 | j = sel[0]
|
---|
| 134 | if k == "p":
|
---|
| 135 | which = self._cursor["p"].index(j)
|
---|
| 136 | polmode = self._polmode[which]
|
---|
| 137 | j = which
|
---|
| 138 | eval(cdict.get(k))
|
---|
| 139 | j = savej
|
---|
| 140 | if colmode == "p":
|
---|
| 141 | polmode = self._polmode[self._cursor["p"].index(j)]
|
---|
| 142 | j = jj
|
---|
[203] | 143 | eval(cdict.get(colmode))
|
---|
| 144 | x = None
|
---|
| 145 | y = None
|
---|
| 146 | m = None
|
---|
[226] | 147 | if not self._title:
|
---|
[525] | 148 | tlab = scan._getsourcename(rowsel)
|
---|
[226] | 149 | else:
|
---|
| 150 | if len(self._title) == n:
|
---|
[525] | 151 | tlab = self._title[rowsel]
|
---|
[226] | 152 | else:
|
---|
[525] | 153 | tlab = scan._getsourcename(rowsel)
|
---|
| 154 | x,xlab = scan.get_abcissa(rowsel)
|
---|
[257] | 155 | if self._abcissa: xlab = self._abcissa
|
---|
[525] | 156 | y = None
|
---|
| 157 | if polmode == "stokes":
|
---|
| 158 | y = scan._getstokesspectrum(rowsel)
|
---|
| 159 | elif polmode == "stokes2":
|
---|
| 160 | y = scan._getstokesspectrum(rowsel,True)
|
---|
[541] | 161 | elif polmode == "circular":
|
---|
| 162 | y = scan._stokestopolspectrum(rowsel,False,-1)
|
---|
[525] | 163 | else:
|
---|
| 164 | y = scan._getspectrum(rowsel)
|
---|
[257] | 165 | if self._ordinate:
|
---|
| 166 | ylab = self._ordinate
|
---|
| 167 | else:
|
---|
| 168 | ylab = 'Flux ('+scan.get_fluxunit()+')'
|
---|
[525] | 169 | m = scan._getmask(rowsel)
|
---|
[226] | 170 | if self._lmap and len(self._lmap) > 0:
|
---|
[525] | 171 | llab = self._lmap[jj]
|
---|
[203] | 172 | else:
|
---|
[525] | 173 | if colmode == 'p':
|
---|
| 174 | if polmode == "stokes":
|
---|
| 175 | llab = scan._getpolarizationlabel(0,1,0)
|
---|
| 176 | elif polmode == "stokes2":
|
---|
| 177 | llab = scan._getpolarizationlabel(0,1,1)
|
---|
[541] | 178 | elif polmode == "circular":
|
---|
| 179 | llab = scan._getpolarizationlabel(0,0,0)
|
---|
[525] | 180 | else:
|
---|
| 181 | llab = scan._getpolarizationlabel(1,0,0)
|
---|
| 182 | else:
|
---|
| 183 | llab = self._ldict.get(colmode)+' '+str(j)
|
---|
[203] | 184 | self._plotter.set_line(label=llab)
|
---|
| 185 | self._plotter.plot(x,y,m)
|
---|
| 186 | xlim=[min(x),max(x)]
|
---|
| 187 | self._plotter.axes.set_xlim(xlim)
|
---|
| 188 | self._plotter.set_axes('xlabel',xlab)
|
---|
| 189 | self._plotter.set_axes('ylabel',ylab)
|
---|
| 190 | self._plotter.set_axes('title',tlab)
|
---|
| 191 | return
|
---|
| 192 |
|
---|
[525] | 193 | def _plot_scans(self, scans, colmode):
|
---|
| 194 | print "Can only plot one row per scan."
|
---|
[203] | 195 | if colmode == 's':
|
---|
| 196 | return
|
---|
| 197 | cdict = {'b':'scan.setbeam(j)',
|
---|
| 198 | 'i':'scan.setif(j)',
|
---|
| 199 | 'p':'scan.setpol(j)'}
|
---|
[525] | 200 | cdict2 = {'b':'self._cursor["b"]',
|
---|
| 201 | 'i':'self._cursor["i"]',
|
---|
| 202 | 'p':'self._cursor["p"]'}
|
---|
| 203 |
|
---|
[203] | 204 | n = len(scans)
|
---|
[525] | 205 | ncol = 1
|
---|
[203] | 206 | if self._stacking is not None:
|
---|
| 207 | scan = scans[0]
|
---|
| 208 | ncol = eval(self._cdict.get(colmode))
|
---|
| 209 | if n > 1:
|
---|
[377] | 210 | if self._rows and self._cols:
|
---|
| 211 | n = min(n,self._rows*self._cols)
|
---|
[554] | 212 | self._plotter.set_panel(rows=self._rows,cols=self._cols,
|
---|
[377] | 213 | nplots=n)
|
---|
| 214 | else:
|
---|
[554] | 215 | self._plotter.set_panel(rows=n,cols=0,nplots=n)
|
---|
[600] | 216 | else:
|
---|
| 217 | self._plotter.set_panels()
|
---|
[203] | 218 | for scan in scans:
|
---|
[541] | 219 | self._plotter.palette(1)
|
---|
[203] | 220 | if n > 1:
|
---|
[525] | 221 | self._plotter.subplot(scans.index(scan))
|
---|
[485] | 222 | self._plotter.palette(1)
|
---|
[525] | 223 | colvals = eval(cdict2.get(colmode))
|
---|
| 224 | rowsel = self._cursor["t"][0]
|
---|
| 225 | for j in colvals:
|
---|
| 226 | polmode = "raw"
|
---|
| 227 | jj = colvals.index(j)
|
---|
| 228 | savej = j
|
---|
| 229 | for k in cdict.keys():
|
---|
| 230 | sel = eval(cdict2.get(k))
|
---|
| 231 | j = sel[0]
|
---|
| 232 | eval(cdict.get(k))
|
---|
| 233 | if k == "p":
|
---|
| 234 | which = self._cursor["p"].index(j)
|
---|
| 235 | polmode = self._polmode[which]
|
---|
| 236 | j = which
|
---|
| 237 | j = savej
|
---|
| 238 | if colmode == "p":
|
---|
| 239 | polmode = self._polmode[self._cursor["p"].index(j)]
|
---|
| 240 | j = jj
|
---|
[203] | 241 | eval(cdict.get(colmode))
|
---|
| 242 | x = None
|
---|
| 243 | y = None
|
---|
| 244 | m = None
|
---|
[226] | 245 | tlab = self._title
|
---|
| 246 | if not self._title:
|
---|
[525] | 247 | tlab = scan._getsourcename(rowsel)
|
---|
| 248 | x,xlab = scan.get_abcissa(rowsel)
|
---|
[257] | 249 | if self._abcissa: xlab = self._abcissa
|
---|
[525] | 250 | if polmode == "stokes":
|
---|
| 251 | y = scan._getstokesspectrum(rowsel)
|
---|
| 252 | elif polmode == "stokes2":
|
---|
| 253 | y = scan._getstokesspectrum(rowsel,True)
|
---|
[541] | 254 | elif polmode == "circular":
|
---|
| 255 | y = scan._stokestopolspectrum(rowsel,False,-1)
|
---|
[525] | 256 | else:
|
---|
| 257 | y = scan._getspectrum(rowsel)
|
---|
[257] | 258 | if self._ordinate:
|
---|
| 259 | ylab = self._ordinate
|
---|
| 260 | else:
|
---|
| 261 | ylab = 'Flux ('+scan.get_fluxunit()+')'
|
---|
[525] | 262 | m = scan._getmask(rowsel)
|
---|
[257] | 263 | if self._lmap and len(self._lmap) > 0:
|
---|
[525] | 264 | llab = self._lmap[jj]
|
---|
[203] | 265 | else:
|
---|
[525] | 266 | if colmode == 'p':
|
---|
| 267 | if polmode == "stokes":
|
---|
| 268 | llab = scan._getpolarizationlabel(0,1,0)
|
---|
| 269 | elif polmode == "stokes2":
|
---|
| 270 | llab = scan._getpolarizationlabel(0,1,1)
|
---|
[541] | 271 | elif polmode == "circular":
|
---|
| 272 | llab = scan._getpolarizationlabel(0,0,0)
|
---|
[525] | 273 | else:
|
---|
| 274 | llab = scan._getpolarizationlabel(1,0,0)
|
---|
| 275 | else:
|
---|
| 276 | llab = self._ldict.get(colmode)+' '+str(j)
|
---|
[203] | 277 | self._plotter.set_line(label=llab)
|
---|
| 278 | self._plotter.plot(x,y,m)
|
---|
| 279 | xlim=[min(x),max(x)]
|
---|
| 280 | self._plotter.axes.set_xlim(xlim)
|
---|
| 281 |
|
---|
| 282 | self._plotter.set_axes('xlabel',xlab)
|
---|
| 283 | self._plotter.set_axes('ylabel',ylab)
|
---|
| 284 | self._plotter.set_axes('title',tlab)
|
---|
| 285 | return
|
---|
| 286 |
|
---|
| 287 | def _plot_other(self,scans,colmode):
|
---|
[554] | 288 | if colmode == self._panelling:
|
---|
[203] | 289 | return
|
---|
[525] | 290 | cdict = {'b':'scan.setbeam(i)',
|
---|
| 291 | 'i':'scan.setif(i)',
|
---|
| 292 | 'p':'scan.setpol(i)'}
|
---|
| 293 | cdict2 = {'b':'self._cursor["b"]',
|
---|
| 294 | 'i':'self._cursor["i"]',
|
---|
| 295 | 'p':'self._cursor["p"]',
|
---|
| 296 | 's': 'scans',
|
---|
| 297 | 't': 'self._cursor["t"]'}
|
---|
[203] | 298 | scan = scans[0]
|
---|
[554] | 299 | n = eval(self._cdict.get(self._panelling))
|
---|
[525] | 300 | ncol=1
|
---|
[203] | 301 | if self._stacking is not None:
|
---|
| 302 | ncol = eval(self._cdict.get(colmode))
|
---|
| 303 | if n > 1:
|
---|
[377] | 304 | if self._rows and self._cols:
|
---|
| 305 | n = min(n,self._rows*self._cols)
|
---|
| 306 | self._plotter.set_panels(rows=self._rows,cols=self._cols,
|
---|
| 307 | nplots=n)
|
---|
| 308 | else:
|
---|
[485] | 309 | self._plotter.set_panels(rows=n,cols=0,nplots=n)
|
---|
[600] | 310 | else:
|
---|
| 311 | self._plotter.set_panels()
|
---|
[554] | 312 | panels = self._cursor[self._panelling]
|
---|
[525] | 313 | for i in panels:
|
---|
[541] | 314 | self._plotter.palette(1)
|
---|
[525] | 315 | polmode = "raw"
|
---|
[554] | 316 | ii = self._cursor[self._panelling].index(i)
|
---|
[203] | 317 | if n>1:
|
---|
[525] | 318 | self._plotter.subplot(ii)
|
---|
[554] | 319 | if self._panelling == "p":
|
---|
[525] | 320 | polmode = self._polmode[ii]
|
---|
[554] | 321 | eval(cdict.get(self._panelling))
|
---|
[525] | 322 | else:
|
---|
[554] | 323 | eval(cdict.get(self._panelling))
|
---|
[525] | 324 | colvals = eval(cdict2.get(colmode))
|
---|
| 325 | for j in colvals:
|
---|
| 326 | rowsel = self._cursor["t"][0]
|
---|
| 327 | jj = colvals.index(j)
|
---|
| 328 | savei = i
|
---|
| 329 | for k in cdict.keys():
|
---|
[554] | 330 | if k != self._panelling:
|
---|
[525] | 331 | sel = eval(cdict2.get(k))
|
---|
| 332 | i = sel[0]
|
---|
| 333 | if k == "p":
|
---|
[557] | 334 | which = self._cursor["p"].index(i)
|
---|
[525] | 335 | polmode = self._polmode[which]
|
---|
| 336 | i = which
|
---|
| 337 | eval(cdict.get(k))
|
---|
| 338 | i = savei
|
---|
[203] | 339 | if colmode == 's':
|
---|
[525] | 340 | scan = j
|
---|
[203] | 341 | elif colmode == 't':
|
---|
[525] | 342 | rowsel = j
|
---|
[203] | 343 | else:
|
---|
[525] | 344 | savei = i
|
---|
| 345 | if colmode == 'p':
|
---|
| 346 | polmode = self._polmode[self._cursor["p"].index(j)]
|
---|
| 347 | i = j
|
---|
[203] | 348 | eval(cdict.get(colmode))
|
---|
[525] | 349 | i = savei
|
---|
[203] | 350 | x = None
|
---|
| 351 | y = None
|
---|
| 352 | m = None
|
---|
[525] | 353 | x,xlab = scan.get_abcissa(rowsel)
|
---|
[257] | 354 | if self._abcissa: xlab = self._abcissa
|
---|
[525] | 355 | if polmode == "stokes":
|
---|
| 356 | y = scan._getstokesspectrum(rowsel)
|
---|
| 357 | elif polmode == "stokes2":
|
---|
| 358 | y = scan._getstokesspectrum(rowsel,True)
|
---|
[541] | 359 | elif polmode == "circular":
|
---|
| 360 | y = scan._stokestopolspectrum(rowsel,False,-1)
|
---|
[525] | 361 | else:
|
---|
| 362 | y = scan._getspectrum(rowsel)
|
---|
| 363 |
|
---|
[257] | 364 | if self._ordinate:
|
---|
| 365 | ylab = self._ordinate
|
---|
| 366 | else:
|
---|
| 367 | ylab = 'Flux ('+scan.get_fluxunit()+')'
|
---|
[525] | 368 | m = scan._getmask(rowsel)
|
---|
[203] | 369 | if colmode == 's' or colmode == 't':
|
---|
[525] | 370 | if self._title and len(self._title) > 0:
|
---|
| 371 | tlab = self._title[ii]
|
---|
| 372 | else:
|
---|
[554] | 373 | tlab = self._ldict.get(self._panelling)+' '+str(i)
|
---|
[525] | 374 | llab = scan._getsourcename(rowsel)
|
---|
[203] | 375 | else:
|
---|
[226] | 376 | if self._title and len(self._title) > 0:
|
---|
[525] | 377 | tlab = self._title[ii]
|
---|
[226] | 378 | else:
|
---|
[554] | 379 | tlab = self._ldict.get(self._panelling)+' '+str(i)
|
---|
[226] | 380 | if self._lmap and len(self._lmap) > 0:
|
---|
[525] | 381 | llab = self._lmap[jj]
|
---|
[203] | 382 | else:
|
---|
[525] | 383 | if colmode == 'p':
|
---|
| 384 | if polmode == "stokes":
|
---|
| 385 | llab = scan._getpolarizationlabel(0,1,0)
|
---|
| 386 | elif polmode == "stokes2":
|
---|
| 387 | llab = scan._getpolarizationlabel(0,1,1)
|
---|
[541] | 388 | elif polmode == "circular":
|
---|
| 389 | llab = scan._getpolarizationlabel(0,0,0)
|
---|
[525] | 390 | else:
|
---|
| 391 | llab = scan._getpolarizationlabel(1,0,0)
|
---|
| 392 | else:
|
---|
| 393 | llab = self._ldict.get(colmode)+' '+str(j)
|
---|
[554] | 394 | if self._panelling == 'p':
|
---|
[525] | 395 | if polmode == "stokes":
|
---|
| 396 | tlab = scan._getpolarizationlabel(0,1,0)
|
---|
| 397 | elif polmode == "stokes2":
|
---|
| 398 | tlab = scan._getpolarizationlabel(0,1,1)
|
---|
[541] | 399 | elif polmode == "circular":
|
---|
| 400 | tlab = scan._getpolarizationlabel(0,0,0)
|
---|
[525] | 401 | else:
|
---|
| 402 | tlab = scan._getpolarizationlabel(1,0,0)
|
---|
[203] | 403 | self._plotter.set_line(label=llab)
|
---|
| 404 | self._plotter.plot(x,y,m)
|
---|
| 405 | xlim=[min(x),max(x)]
|
---|
| 406 | self._plotter.axes.set_xlim(xlim)
|
---|
| 407 |
|
---|
| 408 | self._plotter.set_axes('xlabel',xlab)
|
---|
| 409 | self._plotter.set_axes('ylabel',ylab)
|
---|
| 410 | self._plotter.set_axes('title',tlab)
|
---|
| 411 |
|
---|
| 412 | return
|
---|
| 413 |
|
---|
| 414 |
|
---|
[226] | 415 | def set_mode(self, stacking=None, panelling=None):
|
---|
[203] | 416 | """
|
---|
[377] | 417 | Set the plots look and feel, i.e. what you want to see on the plot.
|
---|
[203] | 418 | Parameters:
|
---|
| 419 | stacking: tell the plotter which variable to plot
|
---|
| 420 | as line colour overlays (default 'pol')
|
---|
| 421 | panelling: tell the plotter which variable to plot
|
---|
| 422 | across multiple panels (default 'scan'
|
---|
| 423 | Note:
|
---|
| 424 | Valid modes are:
|
---|
| 425 | 'beam' 'Beam' 'b': Beams
|
---|
| 426 | 'if' 'IF' 'i': IFs
|
---|
| 427 | 'pol' 'Pol' 'p': Polarisations
|
---|
| 428 | 'scan' 'Scan' 's': Scans
|
---|
| 429 | 'time' 'Time' 't': Times
|
---|
| 430 | """
|
---|
[554] | 431 | if not self.set_panelling(panelling):
|
---|
[203] | 432 | print "Invalid mode"
|
---|
[226] | 433 | return
|
---|
[203] | 434 | if not self.set_stacking(stacking):
|
---|
| 435 | print "Invalid mode"
|
---|
[226] | 436 | return
|
---|
| 437 | if self._data: self.plot()
|
---|
[203] | 438 | return
|
---|
| 439 |
|
---|
[554] | 440 | def set_panelling(self, what=None):
|
---|
| 441 | mode = what
|
---|
| 442 | if mode is None:
|
---|
| 443 | mode = rcParams['plotter.panelling']
|
---|
| 444 | md = self._translate(mode)
|
---|
[203] | 445 | if md:
|
---|
[554] | 446 | self._panelling = md
|
---|
[226] | 447 | self._title = None
|
---|
[203] | 448 | return True
|
---|
| 449 | return False
|
---|
| 450 |
|
---|
[377] | 451 | def set_layout(self,rows=None,cols=None):
|
---|
| 452 | """
|
---|
| 453 | Set the multi-panel layout, i.e. how many rows and columns plots
|
---|
| 454 | are visible.
|
---|
| 455 | Parameters:
|
---|
| 456 | rows: The number of rows of plots
|
---|
| 457 | cols: The number of columns of plots
|
---|
| 458 | Note:
|
---|
| 459 | If no argument is given, the potter reverts to its auto-plot
|
---|
| 460 | behaviour.
|
---|
| 461 | """
|
---|
| 462 | self._rows = rows
|
---|
| 463 | self._cols = cols
|
---|
| 464 | if self._data: self.plot()
|
---|
| 465 | return
|
---|
| 466 |
|
---|
[226] | 467 | def set_stacking(self, what=None):
|
---|
[554] | 468 | mode = what
|
---|
| 469 | if mode is None:
|
---|
| 470 | mode = rcParams['plotter.stacking']
|
---|
| 471 | md = self._translate(mode)
|
---|
[203] | 472 | if md:
|
---|
| 473 | self._stacking = md
|
---|
[226] | 474 | self._lmap = None
|
---|
[203] | 475 | return True
|
---|
| 476 | return False
|
---|
| 477 |
|
---|
[525] | 478 | def set_range(self,xstart=None,xend=None,ystart=None,yend=None):
|
---|
[203] | 479 | """
|
---|
| 480 | Set the range of interest on the abcissa of the plot
|
---|
| 481 | Parameters:
|
---|
[525] | 482 | [x,y]start,[x,y]end: The start and end points of the 'zoom' window
|
---|
[203] | 483 | Note:
|
---|
| 484 | These become non-sensical when the unit changes.
|
---|
| 485 | use plotter.set_range() without parameters to reset
|
---|
| 486 |
|
---|
| 487 | """
|
---|
[525] | 488 | if xstart is None and xend is None:
|
---|
| 489 | self._minmaxx = None
|
---|
[600] | 490 | else:
|
---|
| 491 | self._minmaxx = [xstart,xend]
|
---|
[525] | 492 | if ystart is None and yend is None:
|
---|
| 493 | self._minmaxy = None
|
---|
[600] | 494 | else:
|
---|
| 495 | self._minmaxy = [ystart,yend]
|
---|
[525] | 496 | if self._data: self.plot()
|
---|
[203] | 497 | return
|
---|
| 498 |
|
---|
[257] | 499 | def set_legend(self, mp=None):
|
---|
[203] | 500 | """
|
---|
| 501 | Specify a mapping for the legend instead of using the default
|
---|
| 502 | indices:
|
---|
| 503 | Parameters:
|
---|
| 504 | mp: a list of 'strings'. This should have the same length
|
---|
| 505 | as the number of elements on the legend and then maps
|
---|
| 506 | to the indeces in order
|
---|
| 507 |
|
---|
| 508 | Example:
|
---|
[485] | 509 | If the data has two IFs/rest frequencies with index 0 and 1
|
---|
[203] | 510 | for CO and SiO:
|
---|
| 511 | plotter.set_stacking('i')
|
---|
| 512 | plotter.set_legend_map(['CO','SiO'])
|
---|
| 513 | plotter.plot()
|
---|
| 514 | """
|
---|
| 515 | self._lmap = mp
|
---|
[226] | 516 | if self._data: self.plot()
|
---|
| 517 | return
|
---|
| 518 |
|
---|
| 519 | def set_title(self, title=None):
|
---|
| 520 | self._title = title
|
---|
| 521 | if self._data: self.plot()
|
---|
| 522 | return
|
---|
| 523 |
|
---|
[257] | 524 | def set_ordinate(self, ordinate=None):
|
---|
| 525 | self._ordinate = ordinate
|
---|
| 526 | if self._data: self.plot()
|
---|
| 527 | return
|
---|
| 528 |
|
---|
| 529 | def set_abcissa(self, abcissa=None):
|
---|
| 530 | self._abcissa = abcissa
|
---|
| 531 | if self._data: self.plot()
|
---|
| 532 | return
|
---|
| 533 |
|
---|
[377] | 534 | def save(self, filename=None):
|
---|
| 535 | """
|
---|
| 536 | Save the plot to a file. The know formats are 'png', 'ps', 'eps'.
|
---|
| 537 | Parameters:
|
---|
| 538 | filename: The name of the output file. This is optional
|
---|
| 539 | and autodetects the image format from the file
|
---|
| 540 | suffix. If non filename is specified a file
|
---|
| 541 | called 'yyyymmdd_hhmmss.png' is created in the
|
---|
| 542 | current directory.
|
---|
| 543 | """
|
---|
| 544 | self._plotter.save(filename)
|
---|
| 545 | return
|
---|
[525] | 546 |
|
---|
[541] | 547 | def set_cursor(self, row=None,beam=None,IF=None,pol=None, refresh=True):
|
---|
[525] | 548 | """
|
---|
| 549 | Specify a 'cursor' for plotting selected spectra. Time (rows),
|
---|
| 550 | Beam, IF, Polarisation ranges can be specified.
|
---|
| 551 | Parameters:
|
---|
| 552 | Default for all paramaters is to select all available
|
---|
| 553 | row: selects the rows (time stamps) to be plotted, this has
|
---|
| 554 | to be a vector of row indices, e.g. row=[0,2,5] or row=[2]
|
---|
| 555 | beam: select a range of beams
|
---|
| 556 | IF: select a range of IFs
|
---|
| 557 | pol: select Polarisations for plotting these can be by index
|
---|
| 558 | (raw polarisations (default)) or by names any of:
|
---|
| 559 | ["I", "Q", "U", "V"] or
|
---|
| 560 | ["I", "Plinear", "Pangle", "V"] or
|
---|
[541] | 561 | ["XX", "YY", "Real(XY)", "Imag(XY)"] or
|
---|
| 562 | ["RR", "LL"]
|
---|
[525] | 563 | Example:
|
---|
| 564 | plotter.set_mode('pol','time')
|
---|
| 565 | plotter.plot(myscan) # plots all raw polarisations colour stacked
|
---|
| 566 | plotter.set_cursor(pol=["I"]) # plot "I" only for all rows
|
---|
| 567 | # plot "I" only for two time stamps row=0 and row=2
|
---|
| 568 | plotter.set_cursor(row=[0,2],pol=["I"])
|
---|
[257] | 569 |
|
---|
[525] | 570 | Note:
|
---|
| 571 | Be careful to select only exisiting polarisations.
|
---|
| 572 | """
|
---|
| 573 | if not self._data:
|
---|
| 574 | print "Can only set cursor after a first call to plot()"
|
---|
| 575 | return
|
---|
| 576 |
|
---|
| 577 | n = self._data[0].nrow()
|
---|
| 578 | if row is None:
|
---|
| 579 | self._cursor["t"] = range(n)
|
---|
| 580 | else:
|
---|
| 581 | for i in row:
|
---|
[554] | 582 | if i < 0 or i >= n:
|
---|
[525] | 583 | print "Row index '%d' out of range" % i
|
---|
| 584 | return
|
---|
| 585 | self._cursor["t"] = row
|
---|
| 586 |
|
---|
| 587 | n = self._data[0].nbeam()
|
---|
| 588 | if beam is None:
|
---|
| 589 | self._cursor["b"] = range(n)
|
---|
| 590 | else:
|
---|
| 591 | for i in beam:
|
---|
[554] | 592 | if i < 0 or i >= n:
|
---|
[525] | 593 | print "Beam index '%d' out of range" % i
|
---|
| 594 | return
|
---|
| 595 | self._cursor["b"] = beam
|
---|
| 596 |
|
---|
| 597 | n = self._data[0].nif()
|
---|
| 598 | if IF is None:
|
---|
| 599 | self._cursor["i"] = range(n)
|
---|
| 600 | else:
|
---|
| 601 | for i in IF:
|
---|
[554] | 602 | if i < 0 or i >= n:
|
---|
[525] | 603 | print "IF index '%d' out of range" %i
|
---|
| 604 | return
|
---|
| 605 | self._cursor["i"] = IF
|
---|
| 606 |
|
---|
| 607 | n = self._data[0].npol()
|
---|
| 608 | dstokes = {"I":0,"Q":1,"U":2,"V":3}
|
---|
| 609 | dstokes2 = {"I":0,"Plinear":1,"Pangle":2,"V":3}
|
---|
| 610 | draw = {"XX":0, "YY":1,"Real(XY)":2, "Imag(XY)":3}
|
---|
[541] | 611 | dcirc = { "RR":0,"LL":1}#,"Real(RL)":2,"Image(RL)":3}
|
---|
[525] | 612 |
|
---|
| 613 | if pol is None:
|
---|
| 614 | self._cursor["p"] = range(n)
|
---|
| 615 | self._polmode = ["raw" for i in range(n)]
|
---|
| 616 | else:
|
---|
| 617 | if isinstance(pol,str):
|
---|
| 618 | pol = pol.split()
|
---|
| 619 | polmode = []
|
---|
| 620 | pols = []
|
---|
| 621 | for i in pol:
|
---|
| 622 | if isinstance(i,str):
|
---|
| 623 | if draw.has_key(i):
|
---|
| 624 | pols.append(draw.get(i))
|
---|
| 625 | polmode.append("raw")
|
---|
| 626 | elif dstokes.has_key(i):
|
---|
| 627 | pols.append(dstokes.get(i))
|
---|
| 628 | polmode.append("stokes")
|
---|
| 629 | elif dstokes2.has_key(i):
|
---|
| 630 | pols.append(dstokes2.get(i))
|
---|
| 631 | polmode.append("stokes2")
|
---|
| 632 | elif dcirc.has_key(i):
|
---|
| 633 | pols.append(dcirc.get(i))
|
---|
[541] | 634 | polmode.append("circular")
|
---|
[525] | 635 | else:
|
---|
| 636 | "Pol type '%s' not valid" %i
|
---|
| 637 | return
|
---|
| 638 | elif 0 > i >= n:
|
---|
| 639 | print "Pol index '%d' out of range" %i
|
---|
| 640 | return
|
---|
| 641 | else:
|
---|
| 642 | pols.append(i)
|
---|
| 643 | polmode.append("raw")
|
---|
| 644 | self._cursor["p"] = pols
|
---|
| 645 | self._polmode = polmode
|
---|
[541] | 646 | if self._data and refresh: self.plot()
|
---|
[525] | 647 |
|
---|
| 648 |
|
---|
[203] | 649 | if __name__ == '__main__':
|
---|
| 650 | plotter = asapplotter()
|
---|